Machine learning engineer

Company Description

Prosper AI specializes in AI Phone Agents for healthcare, providing human-like expertise while significantly reducing costs. Our AI Agents efficiently handle tasks for calling patients and payors such as claims status checks, benefit verification, prior authorizations, patient scheduling, and balance reminders. We aim to eliminate $200 B in administrative waste, allowing healthcare professionals to focus more on healing and less on administrative tasks.

Role Description

At Prosper, we're pushing the limits of what's possible with real-time AI. We're not just making voice agents that "talk", we're engineering systems that sound human, reason under strong latency constraints, and adapt instantly to messy, high-stakes healthcare conversations. As a ML Engineer, you'll be at the center of designing and scaling the low-latency speech / LLM pipelines, orchestration layers, and reliability systems that make this possible.

This is a full-time on-site role located in Barcelona with the possibility to move to the New York Office.

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Maths, Physics or related field (or equivalent experience).

3-5 years of experience building complex software solutions and / or deploying ML / AI models to production at scale.

Solid grasp of algorithms, data structures, and software engineering best practices, especially in Python. Familiarity with production ML practices.

Founder mindset : ownership + hard work. You see Prosper as a learning step for your future startup.

Be ready to handle the stress of deploying AI voice agents to thousands of daily phone calls